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| http://dx.doi.org/10.3138/ptc.69.1.GEE2 | DOI Listing |
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Prediction of pulmonary embolism by an explainable machine learning approach in the real world.
Sci Rep
January 2025
Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.
In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.
View Article and Find Full Text PDFMagnetic resonance imaging quantification of left ventricular mechanical dispersion and scar heterogeneity optimize risk stratification after myocardial infarction.
BMC Cardiovasc Disord
January 2025
Department of Radiology, Qujing No.1 Hospital, Kirin District Garden Road no. 1, Qujing, 655099, China.
Background: Left ventricular (LV) myocardial contraction patterns can be assessed using LV mechanical dispersion (LVMD), a parameter closely associated with electrical activation patterns. Despite its potential clinical significance, limited research has been conducted on LVMD following myocardial infarction (MI). This study aims to evaluate the predictive value of cardiac magnetic resonance (CMR)-derived LVMD for adverse clinical outcomes and to explore its correlation with myocardial scar heterogeneity.
View Article and Find Full Text PDFDownregulation of serum miR-30c-5p serves as a biomarker to predict disease onset and short-term prognosis in acute coronary syndrome patients.
J Cardiothorac Surg
January 2025
Department of Intensive Care Medicine, Hangzhou TCM, Hospital Affiliated to Zhejiang Chinese Medicine University, No.1630, Huanding Road, Shangcheng District, Hangzhou, 310044, China.
Background & Objective: Timely intervention for Acute coronary syndrome (ACS) could effectively reduce the mortality rate of ACS patients. This study aimed to investigate the clinical significance of miR-30c-5p for ACS and to provide a convenient biomarker for diagnosing of ACS.
Methods: Baseline information was collected from a total of 173 subjects (98 ACS subjects and 65 healthy subjects).
Negotiating a physically active life in tune with ageing: a grounded theory study of older persons' experiences of participating in high-intensity interval training.
BMC Geriatr
January 2025
Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Umeå, Sweden.
Background: Physical activity and exercise are promoted worldwide as effective interventions for healthy ageing. Various exercise initiatives have been developed and evaluated for their efficacy and effectiveness among older populations. However, a deeper understanding of participants' experiences with these initiatives is crucial to foster long-term activity and exercise among older persons.
View Article and Find Full Text PDFReal-time monitoring of small changes in powder blends and ejected tablets in a low-dose formulation with 1 %w/w of active pharmaceutical ingredient using Raman and near-infrared spatially resolved spectroscopy within a tablet press.
Int J Pharm
January 2025
Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, 08854, USA; Center for Structured Organic Particulate Systems (C-SOPS), Cranbury, NJ, 08512, USA.
This study used Raman and near-infrared (NIR) spectroscopy to monitor small real-time changes in powder blends and tablets in low-dose pharmaceutical formulations. The research aims to enhance process analytical technology (PAT) in pharmaceutical manufacturing, ensuring high-quality and uniform products with applications to produce drugs with narrow therapeutic indices (NTI). The study utilizes Raman and NIR spatially resolved spectroscopy (SRS) techniques to monitor a moderate cohesive material's active pharmaceutical ingredient (API) concentrations during manufacturing.
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